.NET Fest 2019. Stas Lebedenko. Practical serverless use cases in Azure with a trick or two

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Serverless technology is trending, but in-depth details are missing. How does it fit with non-serverless components? What are the practical use cases? Should you fight vendor lock-in? And what about limits and pitfalls with Azure? I will answer those questions, share a few tricks and short demo. I'll cover serverless usage scenarios with Azure, what problems can be solved, and what is a viable adoption strategy. Then I'm going to talk about technology shortcomings, when to omit it and how to rip all benefits. There are circumstances when a cloud-agnostic approach is beneficial, so I discuss serverless frameworks too and why vendor lock is not that bad. Finally, we'll look at a short demo that illustrates why you have to use specific serverless patterns.

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KYIV 2019
Stas Lebedenko
Practical serverless use cases in Azure.
.NET CONFERENCE #1 IN UKRAINE

The ultimate goal is to
minimize the lifetime cost of
the system and to maximize
programmer productivity.
@martinfowler

● Azure Functions
● Azure API Management
● Azure Logic Apps
● Azure SQL Serverless
● Azure Event Grid
● KEDA - Kubernetes-based
event-driven autoscale

The catch with legacy
01 | Cannot handle spike loads.
02 | Caching is a must.
03 | Rate limit via API Facades.
04 | Adjust outgoing throughput.
05 | Limit scalability.
06 | Tune connection pool of SQL Server.

Client applications
● Implement retry.
● Track connection issues.
● Handle 50x and 40x.
● Use additional responses
429 - Too many requests
420 - Enhance your calm

Serverless API facades
Azure Functions Proxy Azure API Management
VS

Durable functions
01 | Based on Durable Task Framework.
02 | Stateful coordination.
03 | Partially in preview.
04 | Orchestrator function.
05 | Entity function.
06 | Ideal for complex
Coordinated pipelines.

Best practices
01 | Keep function small and stateless.
02 | Control connection limits.
03 | Design for failure and use throttling.
04 | Avoid long runs and direct chaining.
05 | Use HttpClient via static.
06 | Use scalable storages.
07 | Build communications via queues and hubs.

Pitfalls
01 | Consumption compute slow
02 | Scale-out have limits.
03 | Bad fit with legacy.
04 | Cold start.
06 | Cloud vendor lock-in.
07 | Failure at scale.

Know your limits
01 | Functions connections limits.
02 | Processing time limit.
03 | External rate limits.
04 | Scale-out limit.
05 | ACU per instance limit.
06 | Storage limit.

SECURITY ● Function code auth.
● 5 App Service options.
● No custom OIDC option.
● CSP, CORS settings.
● Azure Managed Identity.
● VNet only in Premium
plan.

Massive scale increase
probability of the
massive failure.

● Consumption plan is cheap
● Billing estimation is
complicated.
● Cheapest possible ETL.
● Long running functions
with poor design will result
in excessive cost.
● Vulnerable for Denial-of-
wallet attacks.

Any platform, any cloud?
01 | Vendor lock-in problem.
02 | Multicloud is a tech debt.
03 | Consider local run option.
04 | Storage is the real problem.
05 | Think in terms of code.
06 | Estimate multi cloud.

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Do you recall those buzz words like TDD, BDD? Yep, but we know their problems as well! TDD is too granular. BDD is too coarse-grained. Unit tests are too chatty. BDD is too abstract. TDD requires knowledge of implementation details. BDD does not care about implementation at all. What is in the middle? Integration tests. Let's be Integration driven then! OK, then how to build infrastructure to run Integration tests? Should we start with IaaS first? How to speed up the development and take into account non-foundational requirements like scaling, security borders, isolation, etc. from the very beginning? To answer the questions, we would combine Integration test-based development with serverless (AWS) to solve a typical business task. Based on the example, we would show how to create a solid foundation for further refactoring/refining of the overall solution and concreting it with Unit tests. Acceptance tests would be left for home exercise ;)

.NET Fest 2019. Сергей Медведев. How serverless makes Integration TDD a reali...

NETFest

Задачи по обработке естественного языка сейчас встречаются практически в любом проекте. К сожалению, до недавнего времени, платформа .NET не сильно подходила для решения подобных задач. С выходом ML.NET ситуация стала меняться к лучшему, но все еще далека от идеала. На этом докладе я расскажу про основные задачи, которые решаются методами Natural Language Processing и какие существуют способы решения этих задач на платформе .NET (сервисы, библиотеки, фреймворки).

.NET Fest 2019. Сергей Корж. Natural Language Processing in .NET

NETFest

A Public Key Infrastructure (PKI) is the basis of modern system authentication; X.509 certificates are at the core of modern cryptography. Building your own PKI is not for the faint of heart, so we usually buy our certificates from an external Certificate Authority or operate a 3rd-party off-the-shelf PKI. But what can you do if you need to issue your own certificates while keeping your costs low? What if, for example, you're in the business of manufacturing millions of IoT devices and you need to issue a certificate to each and every one of them? And to top it off - you want to do it in a Serverless manner? Join me in this session, as we build a Serverless PKI system with Azure Functions & Key-Vault and learn all about Key-Vault's capabilities in regards to X.509 certificates along the way.

.NET Fest 2019. Eran Stiller. Create Your Own Serverless PKI with .NET & Azur...

NETFest

For the past couple of years it seems that Microservices is all the rage. We want to use Microservices, we want to decompose into Microservices and we want Microservices to be a part of our world. While modern tools and platforms such as Docker, Kubernetes, Service Mesh and the public cloud help in implementing and maintaining such systems, the reality is that many fail even before the first line of code was written. This can happen for many reasons; Perhaps you chose a Microservices architecture for the wrong reasons? Maybe the organization wasn't ready for it? Or just possibly - the proposed architecture didn't embrace the true meaning of Microservices? As the CTO of a software services company I get tackle these questions a lot. Join me in this session as I provide my perspective on transitioning from Monolith to Microservices through lessons learned in the real world, while architecting and implementing multiple Microservices based software systems at various customers.

.NET Fest 2019. Eran Stiller. 6 Lessons I Learned on My Journey from Monolith...

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